Senior Data Integration Developer Jobs in Kentucky

Job Summary:
Diverse Lynx is a company seeking a Data Integration Developer experienced in migrating DB2, SQL, and PostgreSQL. The role involves extensive data integration and ETL development, with a focus on cloud environments and collaboration with stakeholders to define analytics requirements.
Responsibilities:
• Extensive experience in data integration, ETL development, and processing data within cloud environments.
• Solid understanding of Cloud 3.0 architecture principles and enterprise-approved integration patterns.
• Hands-on expertise with Azure Databricks, Azure Data Lake Storage (ADLS), and Unity Catalog.
• Proficient in working with relational databases, particularly PostgreSQL, with additional exposure to DB2.
• Skilled in SQL, including query tuning and optimizing database performance.
• Knowledgeable in data profiling, source-to-target mapping, and implementing data quality processes.
• Familiarity with Kubernetes and AKS for orchestrating data transformation workloads.
• Proficient in CI/CD practices, version control, and automation using tools such as GitHub, Maven, Jenkins, and Docker.
• Strong foundation in Master Data Management (MDM), data governance, data lineage, and data modeling.
• Experienced in managing large-scale enterprise data environments and leveraging modern cloud data platforms.
• Ability to assess and revise existing analytical data models, identifying reuse opportunities and implementing changes based on business and technical requirements.
• Applies integration design patterns and avoids anti-patterns to deliver scalable and maintainable Cloud 3.0 data integration solutions.
• Collaborates with business and technical stakeholders to define reporting and analytics requirements, and architect/build appropriate data models, ETL processes, and data applications.
• Analyzes source systems and data attributes to identify authoritative data sources, enhancing trust in enterprise reporting.
• Adheres to coding standards, design patterns, unit testing, TDD, and CI/CD workflows using modern tools and technologies.
• Conducts data profiling, source-to-target mapping, data analysis, data quality assessment, database design, SQL tuning, query optimization, and data architecture tasks.
• Supports data governance, data quality management, data modeling, and data lineage across multiple enterprise data repositories.
• Demonstrates strong problem-solving skills in developing solutions for complex analytical and data-driven challenges.
• Works collaboratively with cross-functional teams and stakeholders to achieve shared business objectives.
Qualifications:
Required:
• 8-10 years of experience in data integration, ETL development, and processing data within cloud environments.
• Extensive experience in data integration.
• Solid understanding of Cloud 3.0 architecture principles and enterprise-approved integration patterns.
• Hands-on expertise with Azure Databricks, Azure Data Lake Storage (ADLS), and Unity Catalog.
• Proficient in working with relational databases, particularly PostgreSQL, with additional exposure to DB2.
• Skilled in SQL, including query tuning and optimizing database performance.
• Knowledgeable in data profiling, source-to-target mapping, and implementing data quality processes.
• Familiarity with Kubernetes and AKS for orchestrating data transformation workloads.
• Proficient in CI/CD practices, version control, and automation using tools such as GitHub, Maven, Jenkins, and Docker.
• Strong foundation in Master Data Management (MDM), data governance, data lineage, and data modeling.
• Experienced in managing large-scale enterprise data environments and leveraging modern cloud data platforms.
• Ability to assess and revise existing analytical data models, identifying reuse opportunities and implementing changes based on business and technical requirements.
• Applies integration design patterns and avoids anti-patterns to deliver scalable and maintainable Cloud 3.0 data integration solutions.
• Collaborates with business and technical stakeholders to define reporting and analytics requirements, and architect/build appropriate data models, ETL processes, and data applications.
• Analyzes source systems and data attributes to identify authoritative data sources, enhancing trust in enterprise reporting.
• Adheres to coding standards, design patterns, unit testing, TDD, and CI/CD workflows using modern tools and technologies.
• Conducts data profiling, source-to-target mapping, data analysis, data quality assessment, database design, SQL tuning, query optimization, and data architecture tasks.
• Supports data governance, data quality management, data modeling, and data lineage across multiple enterprise data repositories.
• Demonstrates strong problem-solving skills in developing solutions for complex analytical and data-driven challenges.
• Works collaboratively with cross-functional teams and stakeholders to achieve shared business objectives.
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.